Determining Best Regressional Model in Predicting Foetal Weight in Philips Clearview 350 Ultrasound Equipment

ABSTRACT

Background: Earlier investigations have demonstrated that the accuracy of foetal weight estimation is significantly higher if several ultrasonic foetal parameters are measured, because the total body mass depends on the size of foetal head, abdominal circumference and femur length. Aim: This study aimed to determine the best ultrasound regression models that use the common foetal biometric measurements in predicting foetal weight for normal singleton pregnancies in ClearVue 350 ultrasound equipment, and also assess the effects of few maternal anthropometric variables on estimated foetal weight in the Greater Accra Metropolis. Methodology: The study was quantitative, cross-sectional and quasi-experimental in nature and was carried out prospectively in which convenient sampling method was used. Forty (40) participants were scanned in the study. Foetal biparietal diameter, head circumference, abdominal circumference and femur length measurements were measured according to the established guidelines. Microsoft Excel and IBM SPSS soft-wares were used for data analysis. Results: The study demonstrated that, all eight regression models showed no statistically significant difference with (p-value